Senior ML Ops Engineer (Machine Learning Infrastructure)

Parallel Systems(22 days ago)

HybridFull TimeSenior$150,000 - $240,000Engineering

About this role

Parallel Systems is hiring a Senior MLOps/ML Infrastructure Engineer to own and evolve the machine learning infrastructure that powers autonomy and perception for fully autonomous, battery-electric rail vehicles. The role focuses on enabling efficient and reliable model development, training, and deployment across R&D and real-world operations, collaborating closely with autonomy, robotics, and software engineering teams. The position is based in the Los Angeles area with periodic in-office work.

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Required Skills

MLOps
ML Infrastructure
Pipeline Automation
Data Management
Distributed Training
Model Deployment
Model Monitoring
Experiment Tracking
CI/CD
Cloud Computing

+16 more

Qualifications

Bachelor’s Degree in Computer Science
Bachelor’s Degree in Machine Learning

About Parallel Systems

moveparallel.com

Parallel is a technology-driven relocation platform that modernizes household and office moves by combining logistics, software, and customer support. It connects customers and corporate partners with vetted moving crews through an online booking experience that emphasizes transparent pricing, scheduling, and real‑time updates. Parallel also offers optional services like white‑glove handling and temporary storage to cover full relocation needs. The company focuses on streamlining moves for consumers, property managers, and employers by replacing fragmented traditional processes with a single, predictable workflow.